Alternatives and similar repositories for RDFNet

Users that are interested in RDFNet are comparing it to the libraries listed below

• dontLoveBugs / CSPN_monodepth
  Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
  ☆67Updated 5 years ago
• danieltan07 / spatialaffinitynetwork
  PyTorch Implementation of the paper Learning Affinity via Spatial Propagation Networks
  ☆63Updated 7 years ago
• charlesCXK / Depth2HHA
  Use MATLAB to convert depth image into HHA image. In this repo, I will use NYU Depth V2 dataset as an example.
  ☆42Updated 6 years ago
• danxuhk / StructuredAttentionDepthEstimation
  Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation in CVPR 2018 (Spotlight)
  ☆112Updated 6 years ago
• visinf / ppac_refinement
  Probabilistic Pixel-Adaptive Refinement Networks (CVPR 2020)
  ☆78Updated 5 years ago
• zhenheny / LEGO
  LEGO: Learning Edge with Geometry all at Once by Watching Videos
  ☆83Updated 6 years ago
• jzengust / RGBD2Normal
  Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)
  ☆73Updated 5 years ago
• TWJianNuo / EdgeDepth-Release
  Github Repo for Paper "The Edge of Depth: Explicit Constraints between Segmentation and Depth"
  ☆97Updated 4 years ago
• lmb-freiburg / autodispnet
  Code for AutoDispNet (ICCV 2019)
  ☆17Updated 4 years ago
• jaehanlee-mcl / monocular-depth-estimation-using-relative-depth-maps
  ☆31Updated 3 years ago
• DrSleep / DenseTorch
  An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
  ☆62Updated 4 years ago
• sshan-zhao / GASDA
  Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
  ☆133Updated 4 years ago
• miraiaroha / ACAN
  Attention-based Context Aggregation Network for Monocular Depth Estimation
  ☆88Updated 4 years ago
• yangguorun / SegStereo
  SegStereo: Exploiting Semantic Information for Disparity Estimation
  ☆109Updated 6 years ago
• A-Jacobson / Depth_in_The_Wild
  Pytorch implementation of Single-Image Depth Perception in the Wild https://arxiv.org/pdf/1604.03901.pdf
  ☆38Updated last year
• CVLAB-Unibo / Learning2AdaptForStereo
  Code for: "Learning To Adapt For Stereo" accepted at CVPR2019
  ☆80Updated 5 years ago
• ppliuboy / Flow2Stereo
  Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
  ☆55Updated 5 years ago
• yxgeee / DepthComplete
  Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)
  ☆50Updated 4 years ago
• zanilzanzan / FuseNet_PyTorch
  Joint scene classification and semantic segmentation with FuseNet
  ☆114Updated last year
• ShreyasSkandanS / DFuseNet
  ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image G…
  ☆95Updated 5 years ago
• HuynhLam / DAV
  [ECCV 2020] Guiding Monocular Depth Estimation Using Depth Attention-Volume
  ☆36Updated 4 years ago
• ZhangMenghe / rgbd-processor-python
  Process depth image to get HHA and heightMap. Python3 version, will be integrated into unreal program
  ☆25Updated 7 years ago
• lelimite4444 / BridgeDepthFlow
  Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
  ☆123Updated 6 years ago
• youmi-zym / AcfNet
  [AAAI2020] Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
  ☆41Updated 5 years ago
• ankurhanda / nyuv2-meta-data
  all the meta data needed for nyuv2
  ☆117Updated 8 years ago
• hkzhang-git / ST-CLSTM
  Code of paper: Exploiting temporal consistency for real-time video depth estimation (ICCV 2019)
  ☆87Updated 2 years ago
• SSAW14 / STD2P
  source code for "STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling (CVPR2017)"
  ☆35Updated 4 years ago
• MehmetAygun / fusenet-pytorch
  ☆82Updated 2 years ago
• xy-guo / Learning-Monocular-Depth-by-Stereo
  Learning Monocular Depth by Distilling Cross-domain Stereo Networks, ECCV18
  ☆95Updated 6 years ago
• baidu-research / UnDepthflow
  ☆131Updated 6 years ago